AI Governance Technical Expert (ISO/IEC 42001) at RSI Security

, , United States -

Full Time

Start Date

Immediate

Expiry Date

19 Jun, 26

Salary

0.0

Posted On

21 Mar, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

AI Governance, ISO/IEC 42001, Data Governance, Model Oversight, AI Lifecycle Governance, Risk Management, SaaS Environments, Enterprise AI Governance, Technical Artifact Review, Audit Support, ISO/IEC 23894, Impartiality, Conflict of Interest Management, Cybersecurity Governance, Model Validation

Industry

IT Services and IT Consulting

Description

WE ARE HIRING AI Governance Technical Expert (ISO/IEC 42001) Location: 100% Remote – Global Type: Contracted / Project-Based / Potential Permanent Pay: Competitive; Based on experience and authorized technical scope Travel: Minimal (Remote audit model; periodic participation in accreditation body witness audits when assigned) About Us: RSI Security is a leader in cybersecurity compliance and conformity assessment. We operate an independent Certification Body (CB) aligned with ISO/IEC 17021-1 requirements and are currently pursuing accreditation for ISO/IEC 42001 (Artificial Intelligence Management Systems). We maintain strict separation between our certification and advisory entities to protect the integrity and independence of every audit. Our mission is to build a rigorous, globally respected AI governance certification program that ensures AI Management Systems (AIMS) are assessed with impartiality and technical depth. About the Role: As an AI Governance Technical Expert, you will support ISO/IEC 42001 certification audits by providing specialized subject-matter expertise related to AI lifecycle governance, data governance, and model oversight. This is a Certification Body support role and is distinct from consulting, advisory, implementation, or audit leadership functions. Technical Experts supplement audit team competence but do not independently determine conformity, grade nonconformities, sign audit reports as Audit Team Leader, or participate in certification decisions. You will contribute structured technical analysis to audit teams evaluating AI lifecycles, including design, development, validation, deployment, monitoring, and decommissioning within SaaS and enterprise environments. Technical Experts may pursue formal auditor authorization through RSI’s documented competence and authorization framework. Any transition to an auditor role requires full completion of competence evaluation, training, witness audit requirements, and formal authorization prior to performing audit or certification decision activities. What You’ll Do Provide Technical Lifecycle Expertise: Support audit teams in evaluating AI governance controls across the lifecycle, including model governance, data governance, human oversight, and risk integration. Review Technical Artifacts: Analyze technical documentation, system descriptions, governance frameworks, validation records, and lifecycle evidence to provide structured input to the Audit Team Leader. Participate in Audit Interviews: Contribute domain expertise during interviews related to AI model development, validation practices, monitoring controls, and enterprise governance structures. Support Risk-Based Evaluation: Assist in assessing alignment with ISO/IEC 23894 AI risk management principles and integration into lifecycle governance processes. Operate Within Impartiality Guardrails: Comply with RSI’s formal independence and conflict-of-interest controls, including cooling-off requirements and periodic attestations. Engage Under Oversight: Participate in accreditation body witness audits when assigned, demonstrating technical competence under structured external oversight. Competence & Authorization Authorization as a Technical Expert is granted through RSI’s documented competence evaluation and authorization framework. Candidates will undergo structured evaluation of: AI Technical & Lifecycle Competence: Demonstrated understanding of AI lifecycle stages, model governance concepts, data governance principles, and risk-based AI oversight. Sector / Contextual Competence: Familiarity with SaaS / Enterprise AI governance environments, including enterprise IT governance structures and organizational oversight models. Independence Verification: Completion of conflict-of-interest screening and confirmation of no prohibited advisory involvement. Ongoing Monitoring: Performance review by Audit Team Leaders, quality review of technical input, and periodic independence attestation. Technical Experts are authorized within defined technical categories and sector scopes. Assignment shall not occur outside authorized domains. What You’ll Bring Experience: 7+ years in AI governance, data governance, model risk management, cybersecurity governance, enterprise risk, or related technical oversight functions. AI Governance Depth: Strong understanding of AI lifecycle stages, model validation practices, data lifecycle controls, documentation governance, and human oversight mechanisms. Enterprise Context Awareness: Familiarity with SaaS architectures (high-level), enterprise IT governance structures, and organizational AI oversight frameworks. Structured Analytical Thinking: Ability to evaluate evidence objectively and provide disciplined, audit-support input rather than advisory recommendations. Professional Integrity: Commitment to independence, impartiality, and operating within clearly defined role boundaries. Why Join RSI? You will be joining one of the emerging leaders building ISO/IEC 42001 certification capabilities globally. We offer a 100% remote work environment, access to structured audit workflow tools, and a culture that values technical precision and ethical independence above all else. RSI Security is an Equal Opportunity Employer. We prioritize competence, qualifications, and the integrity of the certification process in all hiring decisions.

Responsibilities

The expert will support ISO/IEC 42001 certification audits by providing specialized subject-matter expertise across the AI lifecycle, including data governance and model oversight. This involves analyzing technical documentation, participating in interviews, and contributing structured technical analysis to audit teams evaluating AI systems.